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MicroRNA-Mediated Positive Feedback Loop and Optimized Bistable Switch in a Cancer Network Involving miR-17-92

机译:MicroRNA介导的涉及miR-17-92的癌症网络中的正反馈环和优化的双稳态开关

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摘要

MicroRNAs (miRNAs) are small, noncoding RNAs that play an important role in many key biological processes, including development, cell differentiation, the cell cycle and apoptosis, as central post-transcriptional regulators of gene expression. Recent studies have shown that miRNAs can act as oncogenes and tumor suppressors depending on the context. The present work focuses on the physiological significance of miRNAs and their role in regulating the switching behavior. We illustrate an abstract model of the Myc/E2F/miR-17-92 network presented by Aguda et al. (2008), which is composed of coupling between the E2F/Myc positive feedback loops and the E2F/Myc/miR-17-92 negative feedback loop. By systematically analyzing the network in close association with plausible experimental parameters, we show that, in the presence of miRNAs, the system bistability emerges from the system, with a bistable switch and a one-way switch presented by Aguda et al. instead of a single one-way switch. Moreover, the miRNAs can optimize the switching process. The model produces a diverse array of response-signal behaviors in response to various potential regulating scenarios. The model predicts that this transition exists, one from cell death or the cancerous phenotype directly to cell quiescence, due to the existence of miRNAs. It was also found that the network involving miR-17-92 exhibits high noise sensitivity due to a positive feedback loop and also maintains resistance to noise from a negative feedback loop.
机译:微小RNA(miRNA)是小的非编码RNA,在许多关键的生物学过程(包括发育,细胞分化,细胞周期和细胞凋亡)中起着重要的作用,是基因表达的转录后调节因子。最近的研究表明,miRNA可以根据情况发挥癌基因和抑癌作用。目前的工作集中在miRNA的生理意义及其在调节转换行为中的作用。我们说明了Aguda等人提出的Myc / E2F / miR-17-92网络的抽象模型。 (2008),它由E2F / Myc正反馈回路与E2F / Myc / miR-17-92负反馈回路之间的耦合组成。通过与合理的实验参数密切相关的系统分析网络,我们表明,在存在miRNA的情况下,系统的双稳性从系统中显现出来,由Aguda等人提出了双稳态开关和单向开关。而不是单个单向开关。而且,miRNA可以优化转换过程。该模型针对各种潜在的调节场景产生了各种各样的响应信号行为。该模型预测,由于存在miRNA,这种过渡存在,从细胞死亡或癌表型直接过渡到细胞静止。还发现,由于正反馈回路,涉及miR-17-92的网络表现出较高的噪声敏感性,并且还保持了对来自负反馈回路的噪声的抵抗力。

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